Comparison of the quality of logistic regression models and a classification tree in predicting hospital mortality in elderly patients with non-ST-elevation myocardial infarction by K. G. Pereverzeva, S. S. Yakushin, N. N. Peregudova, M. V. Mishutina

“…The construction of a predictive model of probability of dying was carried out using the logistic regression method. …”
Get full text

An individualized nomogram for predicting risk of sepsis in patients with pyogenic liver abscesses: a 10 years retrospective analysis by Tiezhao Zhang, Xidong Cao, Liyong Zhang, Jinhua Cui, Jian Li, Ziyu Bai, Aijun Yu

“…Calibration curves were constructed to quantify the agreement between predicted and observed outcomes. …”
Get full text

Identifying key covariates of clinical outcomes for critically ill patients with Parkinson’s disease: analysis of the MIMIC-IV database by LiHua Luo, Yang Chen, HangQing Zhao, HangQing Zhao, Rong Dong, Rong Dong, Yuzhou Long

“…Finally, a nomogram for predicting the risk of in-hospital mortality in patients with PD was constructed and validated.ResultsA total of 143 patients with PD and 37 covariates were included in this study. …”
Get full text

Improving machine learning models through explainable AI for predicting the level of dietary diversity among Ethiopian preschool children by Gizachew Mulu Setegn, Belayneh Endalamaw Dejene

“…We applied filter (chi-square and mutual information) and wrapper (sequential backwards) feature selection methods to identify the most influential factors for dietary diversity (DD). …”
Get full text

Powerful high-orbit gyro-TWT by S. V. Kolosov, O. O. Shatilova

“…To search for the optimal configuration of the high-orbit gyro-TWT, the Gyro-K program was used, in which the equations for the excitation of an irregular waveguide by an electron beam are constructed on the basis of the coordinate transformation method of A.G. …”
Get full text

Influence of time from admission to norepinephrine administration and volume of fluids received on outcomes of patients meeting sepsis-3 criteria: a retrospective study using the M... by Faisal Siddiqui, Mark Riddle, Tarek R Firzli, Faria Z Miah, Cody Horton, Hassan Akhtar

“…Prior research and clinician surveys have suggested that earlier usage of vasopressors corresponds to improved outcomes.Methods A retrospective cohort was constructed using patient data contained within the Medical Information Mart for Intensive Care-IV database. …”
Get full text

Comparison of the in-hospital mortality risk predictive models among patients with ischemic stroke combined by dysphagia based on interpretable machine learning by TAI Yaoyong, WU Shengyong, LUO Xiao, ZHU Ronghui, HE Qian, WU Cheng

“…Then ten models, including logistic regression, random forest, K-nearest neighbor, linear discriminant analysis, naive bayes (NB), neural network, quadratic discriminant analysis, recursive partitioning tree, extreme gradient boosting tree, and support vector machine, etc. were constructed. The predictive effect was measured by calculating the area under the curve (AUC) of receiver operating characteristics. …”
Get full text

Association between blood urea nitrogen to serum albumin ratio and in-hospital mortality of patients with chronic obstructive pulmonary disease in the intensive care unit: a retros... by Rui Ren, Yushan Shi, Yanmei Zhang

“…The AUC of in-hospital mortality for sequential organ failure assessment (SOFA) + BAR was superior to SOFA (SOFA + BAR: AUC = 0.657; SOFA: AUC = 0.607). …”
Get full text

Nucleotide-Bound Oligomeric Domain-Like Receptor Protein 3 as a Serological Biomarker in Relation to Disease Severity and Delirium After Acute Pancreatitis: A Two-Center Prospectiv... by Tang Z, Zhou X, Rao Y, Wu J

“…To assess disease severity, Acute Physiology and Chronic Health Evaluation II (APACHE II), Ranson and Sequential Organ Failure Assessment (SOFA) scores were recorded. …”
Get full text

Advancing patient care: Machine learning models for predicting grade 3+ toxicities in gynecologic cancer patients treated with HDR brachytherapy. by Andres Portocarrero-Bonifaz, Salman Syed, Maxwell Kassel, Grant W McKenzie, Vishwa M Shah, Bryce M Forry, Jeremy T Gaskins, Keith T Sowards, Thulasi Babitha Avula, Adrianna Masters, Jose G Schneider, Scott R Silva

“…Seven supervised classification machine learning models (Logistic Regression, Random Forest, K-Nearest Neighbors, Support Vector Machines, Gaussian Naive Bayes, Multi-Layer Perceptron Neural Networks, and XGBoost) were constructed and evaluated. The training process involved sequential feature selection (SFS) when appropriate, followed by hyperparameter tuning. …”
Get full text

Blurring the lines: an empirical examination of the interrelationships among acceptability, appropriateness, and feasibility by Zoe Fehlberg, Zornitza Stark, Marlena Klaic, Stephanie Best

“…Methods A sequential explanatory mixed methods approach was employed. …”
Get full text

Dynamic modeling in the functioning of security systems in the field of information security by A. M. Konakov, A. G. Pevneva

“…The analysis of the functional interaction of the construction of three sequentially interconnected dynamic models and data transfer between them is carried out. …”
Get full text

Clinical decision fatigue: a systematic and scoping review with meta-synthesis by Nicola Grignoli, Serena Petrocchi, Peter Schulz, Luca Gabutti, Greta Manoni, Jvan Gianini

“…Internal medicine and primary care were the most studied disciplines. Only one sequential cross-sectional study measured DF in the medical setting, and all other studies addressed the construct indirectly. …”
Get full text

Identification and Validation of an Explainable Prediction Model of Sepsis in Patients With Intracerebral Hemorrhage: Multicenter Retrospective Study by Xianglin Liu, Zhihua Huang, Yizhi Guo, Yandeng Li, Jianming Zhu, Jun Wen, Yunchun Gao, Jianyi Liu

“…Sepsis following ICU admission was identified using Sepsis-3.0 through clinical diagnosis combining elevation of the Sequential Organ Failure Assessment by ≥2 points with suspected infection. …”
Get full text

A chimeric antigen receptor tailored to integrate complementary activation signals potentiates the antitumor activity of NK cells by Eunbi Yi, Eunbi Lee, Hyo Jin Park, Hyeon Ho Lee, So Hyeon Yun, Hun Sik Kim

“…Conventional CAR constructs are primarily designed for T cells but have been directly adopted for other effector cells, including natural killer (NK) cells, without tailored optimization. …”
Get full text

Time-Dependent Fragility Functions and Post-Earthquake Residual Seismic Performance for Existing Steel Frame Columns in Offshore Atmospheric Environment by Xiaohui Zhang, Xuran Zhao, Shansuo Zheng, Qian Yang

“…The results of this study lay the foundation for resistance to sequential earthquakes and post-earthquake functional recovery and reconstruction, and provide theoretical support for the full life-cycle seismic resilience assessment of existing steel structures in earthquake-prone areas.…”
Get full text

Clinical significance of the neutrophil‐to‐lymphocyte ratio on the prognosis of critically ill elderly patients with sepsis— a retrospective study based on the MIMICV‐IV database... by Kun Han, Jian Hao Wang, Jin Shuai Lu

“…The ability of the NLR in combination with quick Sequential Organ Failure Assessment (qSOFA) and both alone to predict 28‐day mortality in critically ill elderly septic patients was also assessed using the receiver operating characteristic curve. …”
Get full text

Diabetic Retinopathy Screening Among at Risk Populations: Protocol for Distributional Cost-Effectiveness Analysis by Aleksandra Stanimirovic, Troy Francis, Sonia Meerai, Suja Mathew, Sarah Ibrahim, James M Bowen, Aleksandra PIkula, Valeria Rac

“…This is the first Canadian study to (1) have social constructs for DCEA selected by the Delphi panel, (2) mainstream how health equity framework and social constructs are used in economic assessment, (3) improve DR screening programs by using health equity lens, and (4) scale and adopt “de-novo” integration of social constructs in economic models for program evaluation. …”
Get full text

The SIMCA Study Protocol: Factors influencing the implementation of the Midwifery Continuity of Carer (MCoC) model of care in NHS maternity care in England: A mixed methods cross c... by Heather Strange, Aimee Middlemiss, Lena Choudary-Salter, Kate Davies, Tina Prendeville, Susan Barry, Rebecca Milton, Julia Sanders, Aled Jones, Sara Kenyon, Susan Channon

“…Data analysis will be conducted both inductively and deductively, informed by implementation science constructs (work package 3). Dissemination Study findings will be disseminated through peer-reviewed journals, conferences and events. …”
Get full text

A Deep Learning–Based Multimodal F10.7 Prediction with Mamba by Dong Zhao, Fengping Dou, Xueshang Feng, Xin Huang, Sai Ma, Long Xu

“…To this end, we propose a multimodal F10.7 prediction model with Mamba, leveraging both the F10.7 data and several types of solar image data, such as ADAPT-GONG images, Helioseismic and Magnetic Imager magnetograms, and EUV images (AIA 131, 211, and 304 Å). We construct Mamba-based modules for the F10.7 index (MaFI) and sequential image (MaSI) representation learning. …”
Get full text